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Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling 被引量:1
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作者 Xiaoyue Cao Ran Li +9 位作者 J.W.Nightingale Richard Massey Andrew Robertson Carlos SFrenk Aristeidis Amvrosiadis Nicola CAmorisco Qiuhan He Amy Etherington shaun cole Kai Zhu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2022年第2期143-172,共30页
The elliptical power-law model of the mass in a galaxy is widely used in strong gravitational lensing analyses.However,the distribution of mass in real galaxies is more complex.We quantify the biases due to this model... The elliptical power-law model of the mass in a galaxy is widely used in strong gravitational lensing analyses.However,the distribution of mass in real galaxies is more complex.We quantify the biases due to this model mismatch by simulating and then analyzing mock Hubble Space Telescope imaging of lenses with mass distributions inferred from SDSS-Ma NGA stellar dynamics data.We find accurate recovery of source galaxy morphology,except for a slight tendency to infer sources to be more compact than their true size.The Einstein radius of the lens is also robustly recovered with 0.1%accuracy,as is the global density slope,with 2.5%relative systematic error,compared to the 3.4%intrinsic dispersion.However,asymmetry in real lenses also leads to a spurious fitted"external shear"with typical strengthγext=0.015.Furthermore,time delays inferred from lens modeling without measurements of stellar dynamics are typically underestimated by~5%.Using such measurements from a sub-sample of 37 lenses would bias measurements of the Hubble constant H0 by~9%.Although this work is based on a particular set of Ma NGA galaxies,and the specific value of the detected biases may change for another set of strong lenses,our results strongly suggest the next generation cosmography needs to use more complex lens mass models. 展开更多
关键词 galaxies:structure galaxies:halos gravitational lensing:strong
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